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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
Demographic and population response of the threatened coral
Acropora cervicornis (Scleractinia, Acroporidae) to fireworm corallivory
Paola Santiago-Padua1; https://orcid.org/0000-0002-1942-7480
Jeremy Velázquez-Alvarado1,2; https://orcid.org/0000-0003-0778-7339
Arelys Del Mar López-Pérez1; https://orcid.org/0000-0002-1942-7480
Julimar Nevárez-Mélendez1; https://orcid.org/0000-0002-1221-3383
Lemuel E. Díaz-Druet1; https://orcid.org/0000-0002-3002-6530
Samuel E. Suleimán-Ramos1; https://orcid.org/0000-0002-3953-964X
Alex E. Mercado-Molina1,2 *; https://orcid.org/0000-0002-1162-5474
1. Sociedad Ambiente Marino, Calle 3 #1130, Urbanización Villa Nevárez, San Juan, Puerto Rico, 00927;
paolasantiago@sampr.org, jeremyvelazquez@sampr.org, arelys.lopez2@upr.edu, julimarnevarez@sampr.org,
lemueldiaz@sampr.org, samuelsuleiman@sampr.org, alexmercado@sampr.org (*Correspondence)
2. Universidad Ana G. Méndez-Recinto de Gurabo, PO Box 3030, Gurabo, Puerto Rico, 00778.
Received 26-IX-2022. Corrected 27-I-2023. Accepted 17-II-2023.
ABSTRACT
Introduction: The fireworm Hermodice carunculata is a widespread polychaete that can prey upon many coral
species. However, few studies have examined the effect of fireworm predation on coral demographics during
non-outbreak periods.
Objective: To determine whether predation by H. carunculata compromised the growth, survival, and popula-
tion performance of the threatened coral Acropora cervicornis.
Methods: Nursery-reared coral fragments (n = 99) were fixed to the bottom of Punta Melones reef in the Island
Municipality of Culebra, Puerto Rico. Predation activity and its demographic consequences on coral outplants
were assessed from December 2020 to August 2022. Susceptibility to predation was compared between colo-
nies collected directly from the reef and those originating from outside sources (e.g., coral nurseries). With the
demographic data, simple size-based population matrix models were developed to 1) examine whether fireworm
predation led to a significant decline in population growth rate (λ), 2) determine the demographic transition(s)
that contribute the most to λ, and 3) determining the demographic transition(s) that accounted for differences
in λ when comparing scenarios that considered either only predated colonies or both predated and non-predated
outplants.
Results: Predation increased over time, being more frequently observed in the area with the highest topographic
relief and on colonies foreign to the study site. Outplants that were partially consumed grew significantly slower
than non-predated colonies; however, predation did not threaten their survival. The likelihood of being attacked
by the fireworm increased with branching complexity. The estimated λ for a scenario considering only predated
colonies was 0.99, whereas, for a scenario where both predated and non-predated colonies were considered, λ
was 0.91. Population growth, under the two scenarios, was mainly influenced by the probability of a large colony
surviving and remaining at the largest size.
Conclusions: Although predation can negatively impact coral growth, the relatively high survival rate of pre-
dated colonies compensates for the adverse effect. Since survival is the demographic transition that contributes
most to population growth, it could be concluded that under a non-outbreak scenario, fireworm predation may
not be the primary cause of A. cervicornis population decline.
https://doi.org/10.15517/rev.biol.trop..v71iS1.54912
SUPPLEMENT
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
INTRODUCTION
The fireworm Hermodice carunculata
(Pallas, 1766) is a widespread polychaete
found in tropical and temperate marine eco-
systems (Righi et al., 2020; Wolf et al., 2014).
It can prey on many benthic species, including
corals, octocorals, and hydrozoans (Vreeland &
Lasker, 1989; Witman, 1988). In the Caribbean,
H. carunculata can prey heavily on the reef-
forming coral Acropora cervicornis (Lamarck,
1816) (Fig. 1, Knowlton et al., 1990; Miller
et al., 2014). The fireworm does not neces-
sarily consume the entire colony; however, it
can adversely affect coral demography (Miller
et al., 2014). For instance, the survival and
growth of A. cervicornis can be compromised
if tissue consumption exceeds 20 % of the total
colony size (see Mercado-Molina et al., 2018).
Moreover, predation can result in population
decline if large colonies retrogress into smaller
sizes (Mercado-Molina, Ruiz-Diaz, Pérez, et
al., 2015). In fact, in Jamaica, H. carunculata
was linked to the extinction of an A. cervicornis
subpopulation (Knowlton et al., 1990).
Although H. carunculata corallivory may
negatively affect A. cervicornis, its feeding
dynamic is poorly understood. Furthermore,
Key words: coral demographics; coral outplants; elasticity analysis; Hermodice carunculata; population matrix
model; predation; restored population.
RESUMEN
Respuesta demográfica y poblacional del coral amenazado Acropora cervicornis
(Scleractinia, Acroporidae) a la coralivoria por gusano de fuego
Introducción: El gusano de fuego Hermodice carunculata es un poliqueto común que puede depredar muchas
especies de coral. Sin embargo, pocos estudios han examinado el efecto de la depredación del gusano de fuego
en la demografía de los corales durante periodos sin brotes poblacionales.
Objetivo: Este estudio tuvo como objetivo determinar si la depredación por H. carunculata compromete el cre-
cimiento, la supervivencia y el desempeño poblacional del coral amenazado Acropora cervicornis.
Métodos: Fragmentos de coral criados en vivero (n = 99) se fijaron al fondo del arrecife Punta Melones en la
Isla Municipio de Culebra, Puerto Rico. La actividad de depredación y sus consecuencias demográficas en los
trasplantes de coral se evaluaron desde diciembre de 2020 hasta agosto de 2022. Se comparó la susceptibilidad
a la depredación entre las colonias recolectadas directamente del arrecife y las que se originaron en fuentes
externas (p. ej., viveros de coral). Con los datos demográficos, se desarrollaron modelos matriciales simples de
población basados en el tamaño para 1) examinar si la depredación del gusano de fuego causa una disminución
significativa en la tasa de crecimiento de la población (λ), 2) determinar las transiciones demográficas que más
contribuyen a λ, y 3) determinar la(s) transición(es) demográfica(s) que explican las diferencias en λ al comparar
escenarios que consideraron solo colonias depredadas o la combinación de colonias depredadas y no depredadas.
Resultados: La depredación aumentó con el tiempo, observándose con mayor frecuencia en la zona de mayor
relieve topográfico y en colonias ajenas al sitio de estudio. Los trasplantes consumidos parcialmente crecieron
significativamente más lento que las colonias no depredadas; sin embargo, la depredación no amenazó su super-
vivencia. La probabilidad de ser atacado por el gusano de fuego aumentó con la complejidad morfológica de la
colonia. El λ estimado para un escenario que consideraba solo las colonias depredadas fue de 0.99, mientras que,
para un escenario en el que se consideraron tanto las colonias depredadas como las no depredadas, λ fue de 0.91.
El crecimiento de la población, en ambos escenarios, estuvo influenciado principalmente por la probabilidad de
que una colonia grande sobreviviera y permaneciera en el tamaño más grande.
Conclusiones: Aunque la depredación puede tener un impacto negativo en el crecimiento de los corales, una
tasa de supervivencia relativamente alta de las colonias depredadas compensa los efectos adversos. Dado que la
supervivencia es la transición demográfica que más contribuye al crecimiento de la población, se podría concluir
que, en un escenario sin brotes, la depredación por gusanos de fuego no debe ser la causa principal de la dismi-
nución de la población de A. cervicornis.
Palabras claves: análisis de elasticidad; demografía de coral; depredación; Hermodice carunculata; modelo de
matriz de población; población restaurada; trasplantes de coral.
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very few studies have attempted to understand
the effects of predation at the population level
(Goergen et al., 2019; Wolf et al., 2014; Miller
et al., 2014). The coral A. cervicornis is a
threatened species that plays an essential role
in maintaining the ecological functions and
services of coral reefs. It contributes to reef
accretion (Gilmore & Hall 1976; Tunnicliffe,
1981), promotes biodiversity (Agudo-Adriani
et al., 2016), and shapes biological interactions
(Weil et al., 2020). Due to its ecological impor-
tance, many restoration programs have been
established across the region (Bayraktarov et
al., 2020; Hernández-Delgado et al., 2014).
However, the lack of information about the
predatory behavior of fireworms limits prac-
titioners’ ability to develop restoration plans
that can counteract the aggressive behavior of
the fireworms. By understanding the predation
dynamics of H. carunculata, coral outplanting
can, for instance, be timed and located based
on where and when the species is more active.
Such information can be used to predict future
trends of restored populations under different
predation scenarios.
This study aims to describe the predation
dynamics of H. carunculata on a restored pop-
ulation of the threatened coral A. cervicornis
in Puerto Rico. The following questions were
answered: 1) Do predation rates vary in space
and time? 2) Are introduced colonies more
susceptible to predation than local colonies?
3) Is there a relationship between colony com-
plexity and predation susceptibility? 4) Does
predation by H. carunculata put the viability
of the restored population at risk? The answer
to these questions will contribute to a better
understanding of the processes that can hinder
the success of coral reef restoration and help
improve recovery plans for A. cervicornis.
MATERIALS AND METHODS
Study site: The study was conducted in
the Island Municipality of Culebra, approxi-
mately 30 km east of the mainland of Puerto
Rico (Fig. 2). In 2014, the USA National
Oceanographic and Atmospheric Administra-
tion designed Culebra as part of the Northeast-
ern Reserves System Habitat Focus Area due
to its representative biodiversity of Caribbean
marine ecosystems and its socio-economic
value. The study was carried out specifically at
Punta Melones reef (PMEL), where Sociedad
Ambiente Marino (SAM) is mitigating the
effects of reef degradation by increasing the
density of A. cervicornis. PMEL, located on the
western coast of Culebra, has a maximum depth
of five meters and is dominated by macroalgae
assemblages (e.g., algae turfs and Ramicrusta
sp.). The macroalgal community also includes
Dictyota spp., but their abundance varies con-
siderably throughout the year (unpublished
Fig. 1. Left: The white tips of an A. cervicornis colony show signs of recent tissue consumption by Hermodice carunculata.
Right: Hermodice carunculata engulfing a colony outplant of the threatened coral Acropora cervicornis at Punta Melones
reef in Culebra, Puerto Rico.
4Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
data). The sea fan Gorgonia ventalina (Linnae-
us, 1758) is the predominant octocoral species,
being particularly abundant in the shallower
zones of the reef (e.g., reef crest). Approxi-
mately 5 % of the reef is covered by corals,
mostly Porites astreoides (Lamarck, 1816) and
Porites porites (Pallas, 1766). Before the start
of the restoration program, A. cervicornis was
absent from the study site. Information about
the abundance and distribution of H. carun-
culata in PMEL is lacking. However, we have
observed the fireworms across the whole reef,
including reef flats, sandy areas, and areas of
high topographic relief.
Restored populations: At the beginning
of the study in December 2020, three 60 m2
(30 m x 2 m; Fig. 3) permanent belt transects,
separated by 5 m each, were established paral-
lel to the coast. In each transect, 150 fragments
of A. cervicornis (median colony size = 17.40
cm) were fixed to the reef substrate using
concrete nails and plastic cable ties. Coral
fragments were harvested from in-situ coral
nurseries operated by SAM. The physical struc-
ture of the reef framework differed between
the transects. Transect A, the southernmost,
was a reef flat dominated by small dead coral
boulders and flat consolidated substrate, being
the less complex (Rugosity Index = 1.17) of
Fig. 2. The study was conducted at Punta Melones reef, located in the Island Municipality of Culebra, Puerto Rico.
Fig. 3. Schematic representation of transects positioning
along the coastline of Punta Melones reef.
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the three transects established. Transect B was
laid across a moderately complex reef slope
(Rugosity Index = 1.19) with a consolidated
bottom. Transect C, the northernmost, was
characterized by pinnacles and ridges up to 3
m in height, visually dominated by holes and
crevices. In this sense, Transect C was the most
complex (Rugosity Index = 1.24) of the three
reef areas studied. Topographic relief was esti-
mated using the chain method to calculate its
rugosity index (Mercado-Molina, Montañez-
Acuña, et al., 2015; Nemeth & Appeldoorn,
2009). A 10 m long chain was superimposed
along the contour of the reef substrate, and
the rugosity index was calculated as the ratio
between the length of the chain and the dis-
tance it covered along the contour of the reef
substrate (Nemeth & Appeldoorn, 2009).
Prevalence and incidence of predation:
33 colonies were tagged within each of the
transects (total = 99) to monitor the preva-
lence and incidence of fireworm predation
events. Tagged colonies were visited seven
times between December 2020 and August
2022. Prevalence was defined as the percent-
age of colonies that showed signs of predation
during a given time, whereas incidence was the
number of new predation cases detected during
the same period. Log-linear analysis was per-
formed to determine whether the incidence and
prevalence of fireworms predation were inde-
pendent of time and location. Fate (F) was set
as the response variable (e.g., predated vs. non-
predated), whereas time (T) and location (L)
were considered the explanatory factors. Fol-
lowing Caswell (2001) and Fingleton (1984),
0.5 was added to each cell value within the
contingency tables to avoid estimation prob-
lems for values equal to 0. Log-linear analysis
was performed in R (R Core Team, 2017) using
the library MASS (Venables & Ripley, 2013).
Effect of predation on coral demogra-
phy: The growth and survival of the tagged
coral colonies were tracked seven times
between December 2022 and August 2022.
A coral colony was considered dead if no
apparent live tissue was evident. Following
Mercado-Molina, Ruiz-Diaz & Sabat (2015),
growth rates were estimated as the change in
daily linear extension (final length − initial
length / total number of days) and expressed
as cm/day. To estimate colony size, in-situ pho-
tographs (scale-by-side) of each colony were
taken from different perspectives to ensure that
all branches were captured. The initial and final
sizes of the colonies were then calculated by
adding up the linear lengths of the branches,
excluding partial mortality when appropri-
ate. Coral Point Count with Excel extensions
(CPCe; Kohler & Gill, 2006) software was
used for processing the photographs. Survivor-
ship patterns and coral growth were compared
between predated vs. non-predated colonies
using the Kaplan-Meier Survival analysis and
Mann-Whitney-U test, respectively. Survival
analysis was performed in R using the package
simsurv (Brilleman et al., 2021).
Demographic modeling: The restored
fragments (collected from in-situ coral nurser-
ies) were classified into two size classes, small
(overall size 25 cm) and large (overall size >
25 cm). A size-based matrix population model
was developed to estimate the growth rate of
the restored population under two scenarios: 1.
considering only predated colonies and 2. con-
sidering all colonies. The demographic model
followed Equation 1:
(Equation 1)
Where the number of small-sized colonies
[s] and large-sized colonies [l] at time t + 1 (one
year into the future) equals the current number
of colonies in each of the two size classes mul-
tiplied by a two-by-two matrix of the transition
probabilities among size classes. The diagonal
elements in the matrix represent the prob-
abilities of colonies surviving and remaining
in their current size class (stasis: Sss; Sll). The
Rsl element of the matrix represents the con-
tribution of large-sized colonies to the small-
size class by size regression due to fireworm
6Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
consumption of live tissue. Gls represents the
probability of a colony transitioning from
the smallest to the largest size class. The two
size classes were chosen to maintain a sample
greater than 25 colonies for each size category.
Two transition matrices were created, one
accounted for only coral colonies that suf-
fered H. carunculata predation, and the second
included both predated and non-predated colo-
nies. The dominant eigenvalue was calculated
for each matrix to obtain the finite popula-
tion rate of increase (λ). A life table response
experiment (LTRE) analysis was performed
to provide information on the magnitude of
variation in a particular life cycle transition that
contributed most to the observed difference in
λ between treatments (e.g., fireworm coral-
livory). Elasticity was also used as an analysis
to determine the transition rate that would
contribute the most to λ values. Demographic
analyses were performed in R (R Core Team,
2017) using the package popbio (Stubben &
Milligan, 2007).
Colony susceptibility: The susceptibility
of local and introduced populations to preda-
tion was compared. To accomplish this, we
conducted a second outplanting event between
January and February 2022 in which colony
fragments were collected from the original
restored population (e.g., >1-year-old, local
population) as well as nurseries outside the
study site (e.g., introduced population). Fol-
lowing the same methodology described above,
colonies were outplanted along the permanent
transects in the same numbers (e.g., 33 colonies
per transect). Coral fragments were revisited in
April 2022 and July 2022. The Chi-square test
was used to determine whether the number of
colonies predated was associated with their ori-
gin (local vs. introduced). Chi-square analysis
was performed using R (R Core Team, 2017).
RESULTS
Incidence and prevalence of colony pre-
dation: Results of the log-linear analysis indi-
cate that predation rates of H. carunculata
varied in space and time (Table 1). However,
no significant interaction was found between
the location (transect) and time (Table 1). Pre-
dation on coral outplants was first detected in
February 2021 (Fig. 4). After the first sight,
predatory attacks spiked considerably over
time. April 2022 was the month with the highest
percentage of new colonies predated. In August
2022, the incidence of predation decreased,
probably because fewer colonies were at risk
of being predated since most had already been
predated. Prevalence of predation reflected
the increasing incidence trends, suggesting
that affected colonies could not regenerate the
lost tissue (Fig. 5). By the end of the study,
approximately 84 % of the colonies showed
signs of predation. Corals outplanted in the
northernmost location (Transect C) were more
prone to predation than colonies outplanted in
the southern part (Transect A and Transect B).
In Transect C, the mean incidence rate per sur-
vey time was 42 % (range: 27-67 %), whereas,
at Transect A and Transect B, the rate of new
detections per survey time was approximately
TABLE 1
Results of the log-linear analysis comparing the effect of location and time on colony fate (e.g., predated vs. no predated) of
the restored Acropora cervicornis population at Punta Melones reef, Culebra, Puerto Rico.
Effect Models Delta G Delta df P
Location TL, F vs. TL, FL 7.35 2 0.025
Time TL, F vs. TL, FT 70.96 6 < 0.0001
Location, given time TL, LF vs. TL, FT, FL 86.51 6 < 0.0001
Time, given location TL, TF vs. TL, FT, FL 22.90 2 < 0.0001
Location x Time x Fate TL, FT, FL vs. TLF 14.31 12 0.281
T= time; L = location (transect); F = fate (predated or not predated); df = Degree of freedom.
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21 % (range: 0–42 %). Of the 33 tagged colo-
nies monitored in Transect C, only one was not
predated (97 % predation) compared to seven
and eight at Transect A (79 % predation) and
Transect B (76 % predation), respectively. In
general, predation within Transect C accounted
for at least 44 % (range: 44-100 %) of new
sights detected during survey times and ~ 40 %
of the total colonies predated. Predated colo-
nies also presented a moderate vulnerability for
further predation events, with an average of 34
% probability of experiencing further attacks.
Outplants along Transect C were more likely
to be re-predated than outplants in the other
Fig. 4. Spatiotemporal pattern of predation incidence by the fireworm Hermodice carunculata on Acropora cervicornis
outplants.
Fig. 5. Spatiotemporal pattern of predation prevalence by the fireworm Hermodice carunculata on Acropora cervicornis
outplants.
8Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
two transects (Fig. 6). It was also found that
fireworm predation events were significantly
more prevalent in introduced colonies than
in those collected from the local site (Chisq
=8.58, P = 0.003, Fig. 7). The observed spatial
pattern of predation could be a consequence of
the spatial variation in abundance of the fire-
worms (Fig. 8).
Effect of fireworm corallivory on out-
plants demographic performance: Results
of the Mann-Whitney-U-test indicate that pre-
dation significantly affected coral growth (W
= -942, P < 0.0001). Before being attacked,
coral outplants grew at 0.54 cm/day (± 1.03
SD; median = 0.47), decreasing to -0.24 cm/
day (± 0.50 SD; median = -0.32) after being
partially consumed by the fireworm (Fig. 9).
Colonies outplanted in Transect A (W = 77, P
= 0.013) and B (W = 136, P < 0.0001) showed
the largest decrease in growth rates, declining
Fig. 6. Spatial comparison of the probability of a coral
outplant to be re-predated by the fireworm Hermodice
carunculta along the three transects established at Punta
Melones reef, Culebra, Puerto Rico.
Fig. 7. Comparison of predation rates between colonies
originating from Punta Melones (PMEL), referred as local,
and colonies collected from outside nurseries (Introduced).
Fig. 8. Spatial variation in the abundance of the fireworm Hermodice carunculta in Punta Melones reef, Culebra, Puerto Rico.
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17 % and 21 % faster than colonies in Transect
C (Fig. 9). Growth rates before and after the
predation event did not vary statistically among
colonies growing in Transect C (W = 60, P =
0.40). The log-rank test based on the Kaplan-
Meier survival curve (Fig. 10) indicates that
fireworm predation did not significantly affect
the survival of colonies (Chisq = 3.1, P = 0.08).
Survival between predated and non-predated
coral colonies differed only by 10 % towards
the end of the study.
Effect of initial size and the number
of branches on predation rates: Results of
the logistic regression analysis indicate that
the vulnerability of a colony to be predated
increases with the number of colony branch-
es (i.e., branching complexity, z = 3.997,
P < 0.0001) but not with colony size (z = -1.337,
P = 0.181, Fig. 11). However, McFadens’s R2
value of 0.03, a vif value higher than 5, and a
ROC value of 0.53 indicate the models were
Fig. 9. Effect of predation by the fireworm Hermodice carunculata on Acropora cervicornis growth.
Fig. 10. Kaplan-Meier comparing survival pattern between
predated and non-predated outplanted colonies of Acropora
cervicornis.
Fig. 11. Relationship between the probability of predation
and colony size (A) and colony branching (B).
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
not necessarily a good fit for the data; there-
fore, results should be interpreted carefully.
Population response to fireworm preda-
tion: The estimated population growth rate for
the scenario considering only predated colonies
was 0.99 compared to 0.91 when considering
both predated and no-predated colonies (Fig.
12). Under the two scenarios, the demographic
transition that contributes the most to the esti-
mated λ was stasis of large colonies (Fig. 13).
LTRE analyses indicate that the difference in
λ could be attributed to a reduction in the sta-
sis of large-sized colonies under the scenario
considering both predated and non-predated
outplants (Fig. 14).
DISCUSSION
The observed rate of predation by H.
carunculata on A. cervicornis outplants was
84 %, which is ~1.5 times greater than what
was reported in the Florida Keys (Miller et
al., 2014). Biotic and abiotic factors specific
to the localities, such as fireworm abundance
and substrate complexity, may account for the
contrasting results between our study and that
of Miller et al. (2014). However, there is also
the possibility that different methodological
approaches could explain the higher preda-
tion rate we observed. For instance, Miller
et al. (2014) assessed colony predation in
restored populations two years old, whereas
we followed predation on newly fixed coral
Fig. 12. Estimated population growth rates for two
scenarios of predatory activity considering both predated
and non-predated (ALL) and considering only predated
colonies. Values below 1 indicate that the population
growth rate is negative (i.e., declining).
Fig. 13. Contribution of demographic transitions to the estimated population growth under two scenarios of predatory
activities. Considering both predated and non-predated (ALL) and considering only predated colonies. S = stasis, G =
growth, R = retrogression; s = small, l = large.
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outplants. Coral outplanting can be stressful
either because of the pruning and handling or
because coral fragments are placed in a new
environment. Colonies not yet recovered from
the collection event or acclimated to their new
environment may be under higher stress than
healed colonies already experiencing prevail-
ing environmental conditions, making them
more prone to be attacked by H. carunculata.
Therefore, we could have quantified preda-
tion during a period when coral fragments
were more susceptible to being predated. It
could also be possible that after two years in
the reefs, coral outplants developed a degree
of resistance or deterrence toward fireworm
predation. Indeed, Miller et al. (2014) found
that predation rates by H. carunculata on A.
cervicornis in both wild and restored popula-
tions were similar.
Fireworms were less likely to consume
coral fragments originating from PMEL than
from off-site nurseries. This finding suggests
that exposure to a new environment rather
than pruning or handling makes corals more
vulnerable to predation. As a species that typi-
cally reproduces by branch fragmentation, A.
cervicornis may be more able to deal with frag-
mentation-related damage than with changes in
environmental conditions.
There was a significant decline in growth
rates once the colony was partially consumed
by the fireworm, providing further evidence
of predation’s demographic cost. Decreased
growth rates after being predated could result
from the coral diverting energy toward reduc-
ing mortality risk (i.e., Anthony et al., 2009).
Predated colonies developed a calcified bulge
(or neoplasia, Bak, 1983) at the interface
between the live tissue and the exposed skel-
eton. The bulge, considered a physical barrier
for repelling the spread of the algae coloniz-
ing dead portions of the colony, is energeti-
cally costly and may contribute to the observed
decrease in coral growth while increasing sur-
vival probability (Bak, 1983; Mercado-Molina
et al., 2018). Indeed, no significant difference
in survival was observed between predated
and non-predated outplants, as none of the
affected colonies were consumed entirely or
were infected by fireworm-borne diseases (see
Miller et al., 2014). The low mortality of pre-
dated coral outplants opposes previous reports,
Fig. 14. Results of life table experiment analysis showing the contribution of each life cycle transition to the population
growth rate of Acropora cervicornis outplants accounting for the effect of predation. G = growth; S = stasis; R =
retrogression; s = small, l = large.
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
such as the extirpation of colonies in Jamaica
partly due to a fireworm outbreak (Knowlton
et al., 1990). However, our finding agrees with
that of Goergen et al. (2019), who observed
minimal mortality in A. cervicornis wild popu-
lations during a non-outbreak period. Thus, it
could be argued that H. carunculata may not
lead to considerable colony loss if its popula-
tion is relatively low.
As demonstrated in previous demographic
studies on A. cervicornis (Mercado-Molina,
Ruiz-Diaz, Pérez, et al., 2015; Mercado-Molina
et al., 2020), the stasis of large colonies was
the most important transition rate for popula-
tion growth in PMEL. Large colonies are better
able than smaller ones to withstand the nega-
tive demographic effects of partial mortality
(Hernández-Delgado et al., 2018; Mercado-
Molina, Ruiz-Diaz, Pérez, et al., 2015; Mer-
cado-Molina et al., 2018) explaining, in part,
the importance of large colonies for population
viability. For instance, when a small colony
of A. cervicornis loses more than 20 % of its
living tissue, its survival is ~ 33 % lower than
when a large colony loses the same amount of
tissue (Mercado-Molina et al., 2018). Thus,
the preference for H. carunculata predating
on large colonies (see below) may contribute
to the relatively low impact of predation at the
population level.
Surprisingly it was found that the esti-
mated λ for the demographic scenario consid-
ering only the colonies that were attacked by
the fireworms was higher than when predated
and non-predated colonies were combined.
LTRE analysis indicates that such a result
was due to the difference in the probability
of large colonies surviving and remaining in
the largest size class. Under the predated-only
scenario, the stasis of large colonies was ~ 97
%, compared to 88 % when considering all
colonies. This suggests that fireworm predation
does not necessarily force corals into a smaller
class size or lead to the death of the colony. It
also implies that another source of tissue loss
(or death) affects the demographic transitions
of large colonies not predated by the fire-
worm. We witnessed some colonies predated
by the corallivorous snail Coralliophila abbre-
viata; however, the population-level effect of
snail predation may be limited because very
few colonies were affected. It is known that
A. cervicornis could be very susceptible to
minor or moderate local variations in environ-
mental parameters (Mercado-Molina, Ruiz-
Diaz, Pérez, et al., 2015); thus, it is possible
that changes in environmental conditions not
perceptible to us (e.g., light incidence, tem-
perature) led to the mortality of colonies not
predated by H. carunculata.
Goergen et al. (2019) and Miller et al.
(2014) found that colony attacks by H. carun-
culata did not follow a consistent temporal
pattern. In contrast, we found that the incidence
and prevalence of predation showed an increas-
ing trend over time. The discrepancy between
studies could be associated with the capacity
of corals to heal after predation. In the case of
Miller et al. (2014), some colonies regained
the lost tissue, which we did not observe dur-
ing our study. A low capacity to regenerate the
tissue that has been lost is not uncommon in
A. cervicornis (Miller et al., 2014; Mercado-
Molina et al., 2018). However, it is unclear
why some colonies can heal while others do
not. Determining the effects of predation on the
immune system of the coral can provide valu-
able insights into how injured colonies recover
(Ruiz-Diaz et al., 2016); thus, comparative
studies between predated and non-predated
colonies are recommended.
The positive relationship between colony
complexity and the probability of being pre-
dated could also explain the temporal incre-
ment in predation incidence and prevalence.
In A. cervicornis, branch formation tends to
increase with colony size (Mercado-Molina et
al., 2016); consequently, as a colony grows, it
becomes more complex. Morphological com-
plex corals could provide a higher surface
area of nearby tissue for consumption while
allowing the fireworm to spend little energy
foraging. In fact, most of the predated colonies
had multiple branches consumed. Feeding on
large and more complex colonies could also
result from the fireworm preferring colonies in
13
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71 (S1): e54912, abril 2023 (Publicado Abr. 30, 2023)
a compromised energetic state. For instance, as
A. cervicornis grows, it devotes more energy to
growth than maintenance and defense (Darling
et al., 2012; Mercado-Molina, Ruiz-Diaz &
Sabat, 2015; Mercado-Molina et al., 2016),
possibly limiting its ability to counteract fire-
worm aggression.
Although coral outplants across the three
transects (Transect A through Transect C)
showed a progressive increase in fireworm
predation over time, the area where corals were
located proved to be critical, as suggested by
Goergen et al. (2019) and Miller et al. (2014).
Predation rates were greater along Transect C,
probably because the fireworm was more abun-
dant along this transect. Transect C was the
most complex of the three reef areas studied.
For a cryptic species, such as H. carunculata,
a substrate characterized by many crevices and
holes can provide protection and may increase
abundance, as was the case in our study. Nev-
ertheless, Wolf et al. (2014) found the high-
est abundance of H. carunculata in areas of
low rugosity. Therefore, it is possible that the
spatial distribution of the fireworm across our
study site could be related to other factors not
necessarily associated with the structure of
the reef substrate (e.g., sediment composition,
Wolf et al., 2014).
In conclusion, this study confirms that H.
carunculata can predate heavily on A. cervi-
cornis outplants (Calle-Triviño et al., 2017;
Miller et al., 2014), negatively affecting coral
growth. Nevertheless, outplant survival was not
compromised. Such a demographic response
to predation assures a minimal effect at the
population level. Being large and complex is
a buffer against predation because even when
outplants are partially consumed, their sur-
vival tends to be high. Thus, outplanting large
and complex colonies could be a strategy to
improve the success of coral reef restoration
(Goergen & Gilliman, 2018; Mercado-Moli-
na, Ruiz-Diaz, & Sabat, 2015; Pérez-Pagán
& Mercado-Molina, 2018), especially when
introducing colonies from external sources.
Reduced growth rate, however, can be prejudi-
cial in the long term by, for example, delaying
the time a coral outplant can reach a refuge size
and its reproductive potential. H. caranculata
could also be a vector of coral diseases (Miller
& Williams, 2007; Miller et al., 2014; Sussman
et al., 2003). Thus, it is recommended to keep
fireworm populations as small as possible.
When designing a restoration program, atten-
tion to the area (e.g., small-scale topographic
relief) where corals will be outplanted must be
considered. However, it is not clear yet what
features of the reefs substrate better explain
changes in the abundance of H. carunculata.
Studies in this direction are urgently needed.
Ethical statement: The authors declare
that they all agree with this publication and
made significant contributions; that there is no
conflict of interest of any kind; and that we fol-
lowed all pertinent ethical and legal procedures
and requirements. All financial sources are
fully and clearly stated in the acknowledge-
ments section. A signed document has been
filed in the journal archives.
ACKNOWLEDGMENTS
This study was funded by the NOAA Fish-
eries Habitat Conservation Program. Award #
NA20NMF4630303; under the permit 0-VS-
PVS15-SJ-01188-1203-2021 granted by the
Puerto Rico Department of Natural and Envi-
ronmental Resources to Sociedad Ambiente
Marino (SAM). Thanks to the members of
SAM for their logistics and field support.
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